Job Stress and Work Schedules in Relation to Nurse Obesity

Han, Kihye; Trinkoff, Alison M.; Storr, Carla L.; Geiger-Brown, Jeanne

doi:10.1097/nna.0b013e3182346fff

Cited by 94 publications

(90 citation statements)

References 47 publications

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“…Only 10 studies (from five study populations) on associations between psychosocial factors at work and weightrelated outcomes had no or minimal bias with regard to selection, performance, detection and attrition (32, 61, 67, 70-72, 74, 82, 85, 86) (table 1); 3 studies had a severe selection bias (63,91,92). A possible performance bias was found in 6 studies (33,65,68,73,75,76).…”

Section: Associations Between Psychosocial Factors At Work and Weightmentioning

confidence: 99%

“…In line with the model, in both studies the effects of some exposures on weight-related outcomes were attenuated and became non-significant after adjustment for smoking and/or physical inactivity. Nevertheless, even after adjustment for intermediate variables independent associations were observed in 2 studies on psychosocial factors at work (33,77) and 4 studies on long work hours (31,65,84,92).…”

Section: Confounding Effect Modification and Mediating Factorsmentioning

confidence: 99%

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Psychosocial factors at work, long work hours, and obesity: a systematic review

Solovieva¹,

Lallukka²,

Virtanen³

et al. 2013

Scand J Work Environ Health

104

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This is a systematic review of associations of psychosocial factors at work and long work hours with weight-related outcomes. Reviewed studies provide some evidence for associations between psychosocial factors at work and excess weight and between long work hours and weight gain. Cohort studies of high quality using appropriate analytical methods based on an elaborated hypothetical model are needed. Affiliation 241Review Scand J Work Environ Health. 2013;39(3):241-258. doi:10.5271/sjweh.3364 Psychosocial factors at work, long work hours, and obesity: a systematic review Objectives Associations between psychosocial work environment and excess weight have not been systematically addressed. The aim of this systematic review was to summarize the published evidence for the associations of psychosocial factors at work and long work hours with weight-related outcomes. MethodsWe conducted a search of Medline and Embase for all original articles published up to September 2012 using predefined keywords. After excluding studies with a definite selection bias, we included 39 articles.Results About 60% of the studies reported at least one positive association between psychosocial factors at work and a weight-related outcome. However, 76% of the tested associations were found to be non-significant. Furthermore, the associations were rather weak. Studies of higher quality tended to observe associations more often than those of lower quality. Positive associations were found more frequently (i) among women versus men, (ii) in cross-sectional versus longitudinal studies, and (iii) for overweight or obesity versus other outcomes. About 70% of the studies reported positive associations between long work hours and weight-related outcomes. All four studies that evaluated the association between working overtime and weight gain (three longitudinal and one cross-sectional), showed a positive association among men and two of them also observed associations among women. ConclusionsWe found evidence for weak associations between psychosocial factors at work and excess weight.Associations were observed between long work hours, working overtime, and weight gain, especially among men. More cohort studies among non-obese baseline participants using appropriate analytical methods based on an elaborated hypothetical model are needed.

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Section: Associations Between Psychosocial Factors At Work and Weightmentioning

confidence: 99%

Section: Confounding Effect Modification and Mediating Factorsmentioning

confidence: 99%

Psychosocial factors at work, long work hours, and obesity: a systematic review

Solovieva¹,

Lallukka²,

Virtanen³

et al. 2013

Scand J Work Environ Health

104

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“…Shift work and circadian disruption has also been associated with changes in gastrointestinal and metabolic processes such as fat absorption and metabolism, melatonin-related lipid metabolism, enteric autonomic function, and altered insulin signaling in human subcutaneous fat (121)(122)(123)(124)(125). Shift work also disrupts workers' eating behaviors such as those related to food choice and availability as well as eating times and habits (67,126). Recent studies have found, however, that disrupting only the fat cell clock gene Arntl caused mice to eat during their inactive phase, a type of "night eating syndrome", and engendered obesity with no changes in activity or other behaviors.…”

Section: Example 23mentioning

confidence: 99%

“…Some cross-sectional (65,66,67) and longitudinal (68) studies have evaluated obesity and the development of MSD symptoms in working populations, but more studies are needed, particularly with more rigorous ascertainment of MSD triggering factors and symptoms. For example, the longitudinal study found associations between incident self-report shoulder pain, in the week prior to survey, and age, BMI, workplace physical factors, and psychosocial factors among workers at baseline and at three years (68).…”

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confidence: 99%

Conceptual heuristic models of the interrelationships between obesity and the occupational environment

Pandalai¹,

Schulte²,

Miller³

2013

Scand J Work Environ Health

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Pandalai SP, Schulte PA, Miller DB. Conceptual heuristic models of the interrelationships between obesity and the occupational environment. Scand J Work Environ Health. 2013;39(3):221-232. doi:10.5271/sjweh.3363 Objective Research and interventions targeting the relationship between work, its attendant occupational hazards, and obesity are evolving but merit further consideration in the public health arena. In this discussion paper, conceptual heuristic models are described examining the role of obesity as both a risk factor and health outcome in the occupational setting.Methods PubMed was searched using specific criteria from 2000 and onwards for evidence to support conceptual models in which obesity serves as a risk factor for occupational disease or an outcome of occupational exposures. Nine models are presented: four where obesity is a risk factor and five where it is an adverse effect.Results A broad range of work-related health effects are associated with obesity including musculoskeletal disorders, asthma, liver disease, and cardiovascular disease, among others. Obesity can be associated with occupational hazards such as shift work, sedentary work, job stress, and exposure to some chemicals. Conclusion Identification of combinations of risk factors pertinent to obesity in the occupational environmentwill provide important guidance for research and prevention.Key terms cardiovascular disease; diet; endocrine disruptor; intervention study; metabolism; musculoskeletal disease; occupational health; physical activity; risk assessment.1 National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH, USA.Correspondence to: Sudha P Pandalai, MD, PhD, National Institute for Occupational Safety and Health Centers for Disease Control and Prevention, 4676 Columbia Parkway, Cincinnati, OH 45226, Obesity is increasing worldwide with the 2009-2010 prevalence among US adults surpassing one-third (1, 2). Obesity is associated with genetic, behavioral, occupational, and environmental factors (3-5) and has significant economic impact (6). It is also associated with various health problems including musculoskeletal disorders (MSD), asthma, liver disease, and cardiovascular disease (CVD) (7-10). Moreover, neurohormonal and endocrine pathway disruption has been associated with obesity (11,12). Work factors, including sedentary work and taskrelated biomechanics, have been reported as risks for obesity (13)(14)(15). Variables such as irregular work hours/ sleep schedules, job stress, workplace absenteeism, and reduced productivity also contribute (16)(17)(18)(19).Although the related literature is growing, obesity in the occupational environment requires more study, for example, regarding low-wage workers and genes or other factors (20,21). Body mass index (BMI), a measure of obesity, varies by population, race, gender, and socioeconomic class (22)(23)(24). Genetics may account for ≥40% of the variation in BMI (25), but such estimates can depend on the variability of environ...

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“…Previously, we found that jobs with long work hours and less physical exertion and movement were related to nurse obesity. 14 Nevertheless, there is a lack of knowledge about differences in factors that are associated with nurse obesity by WS status. The present study extends this work by comparing obesityrelated factors between nurses with favorable WSs and those with unfavorable WSs.…”

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confidence: 99%